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Big Data Analytics Challenges and Limitations

Description: Test your knowledge on the challenges and limitations associated with Big Data Analytics.
Number of Questions: 16
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Tags: big data data analytics challenges limitations
Attempted 0/16 Correct 0 Score 0

Which of the following is NOT a common challenge associated with Big Data Analytics?

  1. Data Volume

  2. Data Variety

  3. Data Velocity

  4. Data Security


Correct Option: D
Explanation:

Data Security is not a common challenge associated with Big Data Analytics, as it is more related to data management and protection.

The sheer volume of data in Big Data Analytics can lead to which of the following challenges?

  1. Data Storage and Management

  2. Data Processing and Analysis

  3. Data Visualization and Interpretation

  4. All of the above


Correct Option: D
Explanation:

The large volume of data in Big Data Analytics poses challenges in terms of storage and management, processing and analysis, and visualization and interpretation.

The diverse nature of data in Big Data Analytics, including structured, unstructured, and semi-structured data, can lead to which of the following challenges?

  1. Data Integration and Harmonization

  2. Data Cleaning and Preprocessing

  3. Data Analysis and Interpretation

  4. All of the above


Correct Option: D
Explanation:

The diverse nature of data in Big Data Analytics poses challenges in terms of integration and harmonization, cleaning and preprocessing, and analysis and interpretation.

The rapid rate at which data is generated and collected in Big Data Analytics can lead to which of the following challenges?

  1. Data Streaming and Real-time Processing

  2. Data Storage and Management

  3. Data Analysis and Interpretation

  4. All of the above


Correct Option: D
Explanation:

The rapid rate of data generation and collection in Big Data Analytics poses challenges in terms of streaming and real-time processing, storage and management, and analysis and interpretation.

Which of the following is NOT a common limitation of Big Data Analytics?

  1. Computational Complexity

  2. Data Privacy and Security

  3. Data Quality and Accuracy

  4. Scalability and Performance


Correct Option: A
Explanation:

Computational Complexity is not a common limitation of Big Data Analytics, as it is more related to the computational resources and algorithms used for data processing and analysis.

The sheer volume of data in Big Data Analytics can lead to which of the following limitations?

  1. Storage and Management Costs

  2. Processing and Analysis Costs

  3. Data Visualization and Interpretation Costs

  4. All of the above


Correct Option: D
Explanation:

The large volume of data in Big Data Analytics can lead to increased costs associated with storage and management, processing and analysis, and visualization and interpretation.

The diverse nature of data in Big Data Analytics, including structured, unstructured, and semi-structured data, can lead to which of the following limitations?

  1. Data Integration and Harmonization Challenges

  2. Data Cleaning and Preprocessing Challenges

  3. Data Analysis and Interpretation Challenges

  4. All of the above


Correct Option: D
Explanation:

The diverse nature of data in Big Data Analytics can lead to challenges in terms of integration and harmonization, cleaning and preprocessing, and analysis and interpretation.

The rapid rate at which data is generated and collected in Big Data Analytics can lead to which of the following limitations?

  1. Data Streaming and Real-time Processing Challenges

  2. Data Storage and Management Challenges

  3. Data Analysis and Interpretation Challenges

  4. All of the above


Correct Option: D
Explanation:

The rapid rate of data generation and collection in Big Data Analytics can lead to challenges in terms of streaming and real-time processing, storage and management, and analysis and interpretation.

Which of the following is NOT a common challenge associated with Big Data Analytics?

  1. Data Volume

  2. Data Variety

  3. Data Velocity

  4. Data Security


Correct Option: D
Explanation:

Data Security is not a common challenge associated with Big Data Analytics, as it is more related to data management and protection.

The sheer volume of data in Big Data Analytics can lead to which of the following challenges?

  1. Data Storage and Management

  2. Data Processing and Analysis

  3. Data Visualization and Interpretation

  4. All of the above


Correct Option: D
Explanation:

The large volume of data in Big Data Analytics poses challenges in terms of storage and management, processing and analysis, and visualization and interpretation.

The diverse nature of data in Big Data Analytics, including structured, unstructured, and semi-structured data, can lead to which of the following challenges?

  1. Data Integration and Harmonization

  2. Data Cleaning and Preprocessing

  3. Data Analysis and Interpretation

  4. All of the above


Correct Option: D
Explanation:

The diverse nature of data in Big Data Analytics poses challenges in terms of integration and harmonization, cleaning and preprocessing, and analysis and interpretation.

The rapid rate at which data is generated and collected in Big Data Analytics can lead to which of the following challenges?

  1. Data Streaming and Real-time Processing

  2. Data Storage and Management

  3. Data Analysis and Interpretation

  4. All of the above


Correct Option: D
Explanation:

The rapid rate of data generation and collection in Big Data Analytics poses challenges in terms of streaming and real-time processing, storage and management, and analysis and interpretation.

Which of the following is NOT a common limitation of Big Data Analytics?

  1. Computational Complexity

  2. Data Privacy and Security

  3. Data Quality and Accuracy

  4. Scalability and Performance


Correct Option: A
Explanation:

Computational Complexity is not a common limitation of Big Data Analytics, as it is more related to the computational resources and algorithms used for data processing and analysis.

The sheer volume of data in Big Data Analytics can lead to which of the following limitations?

  1. Storage and Management Costs

  2. Processing and Analysis Costs

  3. Data Visualization and Interpretation Costs

  4. All of the above


Correct Option: D
Explanation:

The large volume of data in Big Data Analytics can lead to increased costs associated with storage and management, processing and analysis, and visualization and interpretation.

The diverse nature of data in Big Data Analytics, including structured, unstructured, and semi-structured data, can lead to which of the following limitations?

  1. Data Integration and Harmonization Challenges

  2. Data Cleaning and Preprocessing Challenges

  3. Data Analysis and Interpretation Challenges

  4. All of the above


Correct Option: D
Explanation:

The diverse nature of data in Big Data Analytics can lead to challenges in terms of integration and harmonization, cleaning and preprocessing, and analysis and interpretation.

The rapid rate at which data is generated and collected in Big Data Analytics can lead to which of the following limitations?

  1. Data Streaming and Real-time Processing Challenges

  2. Data Storage and Management Challenges

  3. Data Analysis and Interpretation Challenges

  4. All of the above


Correct Option: D
Explanation:

The rapid rate of data generation and collection in Big Data Analytics can lead to challenges in terms of streaming and real-time processing, storage and management, and analysis and interpretation.

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